Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.759  0.037  0.146  0.537  0.528  0.52
Anderszewski 2003   45  0.6371  0.0057  0.0558  0.0524  0.2564  0.11
Ashkenazy 1981   23  0.6910  0.0311  0.0811  0.438  0.5113  0.47
Bacha 2000   48  0.6369  0.0065  0.0470  0.0423  0.3261  0.11
Badura 1965   65  0.5879  0.0060  0.0552  0.0524  0.3558  0.13
Barbosa 1983   75  0.5052  0.0064  0.0466  0.0424  0.2667  0.10
Biret 1990   29  0.6857  0.0052  0.0471  0.0425  0.2769  0.10
Blet 2003   40  0.6472  0.0055  0.0554  0.0521  0.3256  0.13
Block 1995   56  0.6038  0.0039  0.0536  0.166  0.4535  0.27
Blumental 1952   78  0.4648  0.0075  0.0556  0.0553  0.0479  0.04
Boshniakovich 1969   4  0.7615  0.026  0.135  0.571  0.682  0.62
Brailowsky 1960   39  0.6454  0.0072  0.0553  0.0534  0.2462  0.11
Bunin 1987   38  0.6416  0.0146  0.0945  0.0910  0.5041  0.21
Bunin 1987b   41  0.6443  0.0045  0.0650  0.0610  0.5148  0.17
Chiu 1999   58  0.5931  0.0050  0.0561  0.0514  0.4751  0.15
Cohen 1997   87  0.3081  0.0087  0.0475  0.0481  0.0385  0.03
Cortot 1951   46  0.6380  0.0062  0.0464  0.0430  0.2670  0.10
Csalog 1996   85  0.3647  0.0085  0.0286  0.0274  0.0388  0.02
Czerny 1949   13  0.732  0.078  0.199  0.506  0.596  0.54
Czerny 1990   24  0.6973  0.0029  0.0730  0.2420  0.3234  0.28
Duchoud 2007   44  0.6382  0.0042  0.0544  0.0917  0.3847  0.18
Ezaki 2006   10  0.7358  0.0026  0.0723  0.3214  0.3926  0.35
Falvay 1989   70  0.5562  0.0077  0.0555  0.0554  0.0675  0.05
Farrell 1958   19  0.7130  0.0030  0.0734  0.203  0.5229  0.32
Ferenczy 1958   67  0.5633  0.0074  0.0469  0.0439  0.1174  0.07
Fliere 1977   1  0.821  0.341  0.331  0.701  0.641  0.67
Fou 1978   34  0.667  0.0414  0.0821  0.3219  0.3828  0.35
Francois 1956   16  0.7121  0.0122  0.0720  0.337  0.5516  0.43
Friedman 1923   74  0.5441  0.0051  0.0468  0.049  0.5352  0.15
Friedman 1923b   72  0.5463  0.0049  0.0560  0.058  0.5450  0.16
Friedman 1930   49  0.6232  0.0043  0.0542  0.114  0.5538  0.25
Garcia 2007   69  0.5650  0.0066  0.0479  0.0413  0.4357  0.13
Garcia 2007b   71  0.5446  0.0058  0.0747  0.073  0.5446  0.19
Gierzod 1998   2  0.7814  0.022  0.102  0.602  0.635  0.61
Gornostaeva 1994   9  0.7334  0.0027  0.0917  0.345  0.5615  0.44
Groot 1988   14  0.7265  0.0024  0.0825  0.3010  0.5222  0.39
Harasiewicz 1955   32  0.673  0.063  0.127  0.512  0.5110  0.51
Hatto 1993   68  0.5656  0.0048  0.0649  0.0610  0.4949  0.17
Hatto 1997   54  0.6166  0.0041  0.0538  0.1511  0.4637  0.26
Horowitz 1949   21  0.7040  0.0033  0.0629  0.277  0.5919  0.40
Indjic 1988   64  0.5878  0.0047  0.0748  0.0711  0.4945  0.19
Kapell 1951   43  0.6368  0.0053  0.0559  0.0533  0.2065  0.10
Kissin 1993   27  0.6826  0.0032  0.0628  0.2717  0.3931  0.32
Kushner 1989   22  0.7061  0.0031  0.0632  0.2024  0.3336  0.26
Luisada 1991   37  0.6536  0.0036  0.0535  0.2026  0.3833  0.28
Lushtak 2004   17  0.718  0.0413  0.0715  0.359  0.4223  0.38
Malcuzynski 1961   18  0.7129  0.0019  0.0626  0.284  0.5521  0.39
Magaloff 1978   26  0.6925  0.0035  0.0439  0.1425  0.3042  0.20
Magin 1975   52  0.6175  0.0037  0.0537  0.1614  0.3340  0.23
Michalowski 1933   62  0.5927  0.0021  0.0733  0.205  0.5230  0.32
Milkina 1970   36  0.6653  0.0059  0.0846  0.0845  0.0873  0.08
Mohovich 1999   8  0.7459  0.0025  0.0718  0.3415  0.4918  0.41
Moravec 1969   81  0.4383  0.0083  0.0382  0.0349  0.0577  0.04
Morozova 2008   51  0.6224  0.0140  0.0541  0.1214  0.3443  0.20
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   59  0.5917  0.0163  0.0476  0.0415  0.4054  0.13
Ohlsson 1999   3  0.7813  0.029  0.148  0.506  0.547  0.52
Osinska 1989   20  0.7023  0.0128  0.0727  0.2816  0.4427  0.35
Pachmann 1927   55  0.6155  0.0071  0.0473  0.0413  0.3859  0.12
Paderewski 1930   47  0.6345  0.0067  0.0477  0.0420  0.3163  0.11
Perlemuter 1992   31  0.6749  0.0020  0.0722  0.329  0.4720  0.39
Pierdomenico 2008   61  0.5977  0.0056  0.0467  0.0413  0.4453  0.13
Poblocka 1999   28  0.686  0.0410  0.1319  0.3412  0.4124  0.37
Rabcewiczowa 1932   57  0.6044  0.0068  0.0478  0.0435  0.1972  0.09
Rachmaninoff 1923   35  0.6628  0.0034  0.0731  0.2112  0.4332  0.30
Rangell 2001   66  0.5839  0.0069  0.0465  0.0422  0.3460  0.12
Richter 1976   73  0.5442  0.0070  0.0562  0.0519  0.3355  0.13
Rosen 1989   11  0.7318  0.0116  0.0813  0.429  0.5411  0.48
Rosenthal 1930   76  0.5076  0.0076  0.0551  0.0553  0.0478  0.04
Rosenthal 1931   82  0.4386  0.0081  0.0287  0.0248  0.0484  0.03
Rosenthal 1931b   80  0.4484  0.0079  0.0480  0.0445  0.0776  0.05
Rosenthal 1931c   77  0.4970  0.0078  0.0472  0.0469  0.0386  0.03
Rosenthal 1931d   79  0.4587  0.0082  0.0381  0.0362  0.0581  0.04
Rossi 2007   86  0.3589  0.0086  0.0383  0.0363  0.0482  0.03
Rubinstein 1939   84  0.3860  0.0084  0.0384  0.0367  0.0483  0.03
Rubinstein 1952   83  0.4164  0.0080  0.0285  0.0253  0.0687  0.03
Rubinstein 1966   60  0.5967  0.0073  0.0474  0.0433  0.2468  0.10
Schilhawsky 1960   30  0.6819  0.0118  0.0714  0.408  0.5014  0.45
Shebanova 2002   7  0.7511  0.0215  0.0710  0.436  0.619  0.51
Smith 1975   25  0.6951  0.0023  0.0724  0.3013  0.4625  0.37
Sokolov 2002   33  0.6635  0.0044  0.0543  0.1027  0.3544  0.19
Sztompka 1959   5  0.7620  0.0112  0.0712  0.4310  0.5212  0.47
Tomsic 1995   50  0.6237  0.0061  0.0463  0.0433  0.2566  0.10
Uninsky 1932   53  0.6174  0.0038  0.0540  0.1214  0.4939  0.24
Uninsky 1971   42  0.6312  0.0217  0.0716  0.348  0.5117  0.42
Wasowski 1980   63  0.5922  0.0154  0.0557  0.0528  0.1871  0.09
Zak 1937   12  0.734  0.065  0.134  0.582  0.643  0.61
Zak 1951   15  0.715  0.054  0.113  0.594  0.634  0.61
Random 1   90  -0.1588  0.0090  0.0190  0.0156  0.0490  0.02
Random 2   89  -0.1290  0.0089  0.0188  0.0170  0.0389  0.02
Random 3   88  -0.0185  0.0088  0.0189  0.0136  0.1580  0.04

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).